Articles | Volume 4, issue 3
https://doi.org/10.5194/esurf-4-757-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/esurf-4-757-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 Sep 2016
Research article |
| 30 Sep 2016
The sensitivity of landscape evolution models to spatial and temporal rainfall resolution
Department of Geography, Environment and Earth Sciences, University of
Hull, Hull, UK
Christopher J. Skinner
Department of Geography, Environment and Earth Sciences, University of
Hull, Hull, UK
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36 citations as recorded by crossref.
- Tracing seismic landslide-derived sediment dynamics in response to climate change J. Xie et al. 10.1016/j.catena.2022.106495
- Improving estuary models by reducing uncertainties associated with river flows P. Robins et al. 10.1016/j.ecss.2018.02.015
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- Predicting gully erosion using landform evolution models: Insights from mining landforms G. Hancock & G. Willgoose 10.1002/esp.5234
- Modelling the impact of seismic triggered landslide location on basin sediment yield, dynamics and connectivity J. Xie et al. 10.1016/j.geomorph.2021.108029
- Global sensitivity analysis of parameter uncertainty in landscape evolution models C. Skinner et al. 10.5194/gmd-11-4873-2018
- Stochastic Rainfall Modeling at Sub‐kilometer Scale L. Benoit et al. 10.1029/2018WR022817
- Quantifying erosion hazards and economic damage to critical infrastructure in river catchments: Impact of a warming climate X. Li et al. 10.1016/j.crm.2021.100287
- Topological controls on catchment‐scale sediment dynamics Y. Walley & A. Henshaw 10.1002/esp.5510
- Planning London’s green spaces in an integrated water management approach to enhance future resilience in urban stormwater control Z. Zhang et al. 10.1016/j.jhydrol.2021.126126
- Modeling the geomorphic response to early river engineering works using CAESAR-Lisflood J. Ramirez et al. 10.1016/j.ancene.2020.100266
- Hillslope erosion in a grassland environment: Calibration and evaluation of the SIBERIA landscape evolution model G. Hancock et al. 10.1002/esp.5060
- Temperature effects on the spatial structure of heavy rainfall modify catchment hydro-morphological response N. Peleg et al. 10.5194/esurf-8-17-2020
- The impact of different rainfall products on landscape modelling simulations C. Skinner et al. 10.1002/esp.4894
- Increased erosion in a pre-Alpine region contrasts with a future decrease in precipitation and snowmelt T. Cache et al. 10.1016/j.geomorph.2023.108782
- Inverting Topography for Landscape Evolution Model Process Representation: 1. Conceptualization and Sensitivity Analysis K. Barnhart et al. 10.1029/2018JF004961
- Tracing and visualisation of contributing water sources in the LISFLOOD-FP model of flood inundation (within CAESAR-Lisflood version 1.9j-WS) M. Wilson & T. Coulthard 10.5194/gmd-16-2415-2023
- Effects of climate variability changes on runoff and erosion in the Western European Loess Belt region (NW, France) R. Bunel et al. 10.1016/j.scitotenv.2023.166536
- Developing, choosing and using landscape evolution models to inform field‐based landscape reconstruction studies A. Temme et al. 10.1002/esp.4162
- The uncertain future of mountaintop-removal-mined landscapes 2: Modeling the influence of topography and vegetation S. Bower et al. 10.1016/j.geomorph.2023.108985
- Implementation of a GPU-enhanced multiclass soil erosion model based on the 2D shallow water equations in the software Iber L. Cea et al. 10.1016/j.envsoft.2024.106098
- Tailings dams: Assessing the long-term erosional stability of valley fill designs G. Hancock & T. Coulthard 10.1016/j.scitotenv.2022.157692
- Assessing the hydrological and geomorphic behaviour of a landscape evolution model within a limits‐of‐acceptability uncertainty analysis framework J. Wong et al. 10.1002/esp.5140
- Landscape evolution of the Wenchuan earthquake-stricken area in response to future climate change C. Li et al. 10.1016/j.jhydrol.2020.125244
- Radar and Rain Gauge Data Fusion Based on Disaggregation of Radar Imagery L. Benoit 10.1029/2020WR027899
- Two decades of numerical modelling to understand long term fluvial archives: Advances and future perspectives A. Veldkamp et al. 10.1016/j.quascirev.2016.10.002
- Climate Change Impacts on Sediment Yield and Debris‐Flow Activity in an Alpine Catchment J. Hirschberg et al. 10.1029/2020JF005739
- Modelling the long-term geomorphic response to check dam failures in an alpine channel with CAESAR-Lisflood J. Ramirez et al. 10.1016/j.ijsrc.2022.04.005
- An advanced stochastic weather generator for simulating 2‐D high‐resolution climate variables N. Peleg et al. 10.1002/2016MS000854
- A method for assessing the long-term integrity of tailings dams G. Hancock 10.1016/j.scitotenv.2021.146083
- Processes and Modeling of Initial Soil and Landscape Development: A Review T. Maurer & H. Gerke 10.2136/vzj2016.05.0048
- A Downscaling Intercomparison Study: The Representation of Slope- and Ridge-Scale Processes in Models of Different Complexity B. Kruyt et al. 10.3389/feart.2022.789332
- Inverting Topography for Landscape Evolution Model Process Representation: 3. Determining Parameter Ranges for Select Mature Geomorphic Transport Laws and Connecting Changes in Fluvial Erodibility to Changes in Climate K. Barnhart et al. 10.1029/2019JF005287
- Effects of the temporal resolution of storm data on numerical simulations of urban flood inundation J. Hou et al. 10.1016/j.jhydrol.2020.125100
- Rainfall spatial-heterogeneity accelerates landscape evolution processes N. Peleg et al. 10.1016/j.geomorph.2021.107863
- Testing the sensitivity of the CAESAR-Lisflood landscape evolution model to grid cell size C. Skinner & T. Coulthard 10.5194/esurf-11-695-2023
Saved (preprint)
Latest update: 14 Dec 2024
Short summary
Landscape evolution models are driven by climate or precipitation data. We show that higher-resolution data lead to greater basin sediment yields (> 100 % increase) despite minimal changes in hydrological outputs. Spatially, simulations over 1000 years show finer-resolution data lead to a systematic bias of more erosion in headwater streams with more deposition in valley floors. This could have important implications for the long-term predictions of past and present landscape evolution models.
Landscape evolution models are driven by climate or precipitation data. We show that...
